Short Course Blended

Business Analytics

Imperial College London

21 days
1980 GBP/full
1980 GBP/full
Tuition fee
Apply date
Start date


The goal of the Business Analytics course from Imperial College Business School - Summer School at Imperial College London is to introduce students to three different areas in analytics, with a focus on prescriptive analytics. 


This Business Analytics course from Imperial College Business School - Summer School at Imperial College London will focus on a brief introduction to probability/statistics, decision trees and optimisation and networks with applications in logistics and organisations.

By the end of the course you will:

  • Understand some basic probability concepts such as distributions, conditional probability etc. and apply them in real life situations. 

  • Build and solve decision trees for modelling strategic real-world problems under uncertainty. 

  • Understand how to formulate various kinds of optimization problems and solve them in Excel and AMPL. 

  • Construct linear regression models for statistical analysis, and estimate them in R.

Programme Structure

  • Week one

We will review some basic probability (distributions, conditional probability, Bayes Theorem, Central Limit Theorem, etc.). We’ll also learn how to formulate real-world strategic problems under uncertainty as decision trees and how to solve these trees using an Excel Addin.  

  • Week two

We will learn how to formulate managerial decision problems as linear and discrete optimization problems, what the properties of these optimization problems are, and how these optimization problems can be solved in Excel and AMPL.  

  • Week three

We will learn about the specification and estimation of the linear regression model, from model assumptions, coefficient estimation to model inference and predictions. Using empirical applications drawn from economics and related fields, we will demonstrate how these approaches can be successfully applied in practice.

Key information


  • Full-time
    • 21 days

Start dates & application deadlines



Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Applicants for this business analytics short course will be expected to have some prior exposure or previous learning in calculus, linear algebra and probability.

Tuition Fee

To alway see correct tuition fees
  • International

    1980 GBP/full
    Tuition Fee
    Based on the tuition of 1980 GBP for the full programme during 21 days.
  • EU/EEA

    1980 GBP/full
    Tuition Fee
    Based on the tuition of 1980 GBP for the full programme during 21 days.

Early bird fee: applications made before 30 April

  • One session: £1,980
  • Two sessions: £3,564

Applications made after 30 April 

  • One session: £2,200
  • Two sessions: £3,960

Living costs for London

1137 - 2157 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Scholarships of £1,000 are available to candidates who have accepted their Summer School offer and demonstrate a strong application, potential for future academic and career success, and the passion to make a positive impact on business and society.

Students who apply for Summer School by Friday 30 April and subsequently accept their offer should submit a brief supporting statement to be considered.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Business Analytics
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